Deep learning-based automated detection of glaucomatous optic neuropathy on color fundus photographs
Deep learning-based automated detection of glaucomatous optic neuropathy on color fundus photographs
About this item
Full title
Author / Creator
Li, Feng , Yan, Lei , Wang, Yuguang , Shi, Jianxun , Chen, Hua , Zhang, Xuedian , Jiang, Minshan , Wu, Zhizheng and Zhou, Kaiqian
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title
Language
English
Formats
Publication information
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Subjects
More information
Scope and Contents
Contents
Purpose
To develop a deep learning approach based on deep residual neural network (ResNet101) for the automated detection of glaucomatous optic neuropathy (GON) using color fundus images, understand the process by which the model makes predictions, and explore the effect of the integration of fundus images and the medical history data from patie...
Alternative Titles
Full title
Deep learning-based automated detection of glaucomatous optic neuropathy on color fundus photographs
Authors, Artists and Contributors
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Primary Identifiers
Record Identifier
TN_cdi_proquest_miscellaneous_2347526764
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2347526764
Other Identifiers
ISSN
0721-832X
E-ISSN
1435-702X
DOI
10.1007/s00417-020-04609-8